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A company has a collaborative document editing application that allows multiple users to simultaneously edit...

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A company has a collaborative document editing application that allows multiple users to simultaneously edit shared documents. The documents are stored as JSON objects in Amazon S3. The company needs to prevent data loss when multiple users modify the same document simultaneously. The solution must ensure that only the first write operation to finish successfully modifies the document. The solution must handle thousands of concurrent editors across multiple AWS Regions and must resolve conflicts automatically.

Which solution will meet these requirements?

A.

Deploy an S3 bucket and enable versioning. Configure S3 event notifications to invoke an AWS Lambda function in response to PutObject events. Configure the function to track document versions in an Amazon DynamoDB table and to use conditional writes to resolve conflicts.

B.

Deploy an S3 bucket. Configure conditional writes to use If-Match headers and entity tags (ETags). Configure an AWS Lambda function to detect editing conflicts based on Amazon S3 responses to writes. Configure the Lambda function to send retry messages to an Amazon SQS queue with a delay.

C.

Deploy an S3 bucket and enable S3 Object Lock in compliance mode. Use AWS Step Functions to retry sequential document updates by using exponential backoff.

D.

Deploy an S3 bucket and enable multipart uploads. Use AWS Batch jobs to make document updates. Use Amazon ElastiCache for Redis as a distributed lock mechanism across Regions.

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